Research Article
A Novel Modified Sparrow Search Algorithm with Application in Side Lobe Level Reduction of Linear Antenna Array
Table 1
Parameters of different algorithms.
| Algorithm | Parameter | Value |
| PSO [38, 39] | Individual learning factor | 2 | Social learning factor | 2 | Inertia weight | 1.05 |
| PSOGSA [40] | Individual learning factor | 0.5 | Social learning factor | 1.5 | Weighting function | | Gravitational constant | 1 | Alpha | 20 |
| WOA [41] | Variable | | Constant defining logarithmic spiral shape | 1 |
| GOA [42] | Minimum reduction factor | 0.00004 | Maximum reduction factor | 1 | Attraction intensity | 0.5 | Attractive length scale | 1.5 |
| MTDE [43] | Number of portions divided by iterations | 20 | best-history size | 5 | Nonlinear decreased coefficient | | Dimension-dependent value | | Mean value of improved scale factors | 0.5 | Variance of improved scale factors | 0.2 |
| SSA [23] | Number of producers | 20% | Number of scouters | 10% | Safety threshold | 0.8 |
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